面向战场海空目标识别的知识图谱应用

Knowledge Graph Application for Battlefield Airborne/Maritime Target Intelligent Recognition

未来战争复杂性加强、速度加快且更具持续性,对战场海空目标识别提出了智能化要求。针对知识图谱在战场海空目标智能识别中的应用问题,提出了一种基于知识图谱的识别推理方法。首先,利用知识图谱和图数据库技术构建战场海空目标智能识别知识库,包括时空活动规律、辐射源活动规律、航行计划、机场港口知识和飞机舰船知识;然后,利用多智能体、规则推理和案例推理技术构建多个具有领域知识推理能力的智能体,再利用分类器推理技术进行战场海空目标智能综合识别推理;最后,结合典型应用场景,通过仿真应用验证了该方法的有效性。

Future wars will be more complex,more accelerated and more persistent.So the intelligent requirements are proposed for battlefield airborne/maritime target recognition.Aimed at the application problem of the knowledge graph in battlefield airborne/maritime target intelligent recognition,a recognition reasoning method based on the knowledge graph is presented.Firstly,with the knowledge graph and the graph database,a knowledge database for battlefield airborne/maritime target intelligent recognition is constructed,including space-time activity patterns,radiation source activity patterns,navigating plans and knowledge of airports,harbors,aircrafts and ships.Then,using technologies of multi-agent,rule-based reasoning and case-based reasoning,several agents with domain knowledge reasoning ability are established.With classifier reasoning technology,battlefield airborne/maritime target intelligent recognition is carried out.Finally,combined with the typical application scenario,the effectiveness is validated with a simulation application.